A linear self-calibration technique for camera pairs with unknown focal lengths that matches Kruppa-equation accuracy and feeds into rotation-averaged multi-view reconstruction.
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Ensemble of ImageNet-pretrained and entropy-guided MAE-pretrained ConvNeXt-Tiny models achieves state-of-the-art results on four medical imaging datasets including BUSI, ISIC 2018, Kvasir, and COVID.
citing papers explorer
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A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences
A linear self-calibration technique for camera pairs with unknown focal lengths that matches Kruppa-equation accuracy and feeds into rotation-averaged multi-view reconstruction.
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Entropy-Guided Self-Supervised Learning for Medical Image Classification
Ensemble of ImageNet-pretrained and entropy-guided MAE-pretrained ConvNeXt-Tiny models achieves state-of-the-art results on four medical imaging datasets including BUSI, ISIC 2018, Kvasir, and COVID.